AI Assurance
Codes of practice, assurance patterns, incident learning and practical trust signals for buyers and providers.
Express interestWorking groups
Member-led groups for practical outcomes.
Time-bound working groups will turn member expertise into codes of practice, playbooks, procurement guidance, accreditation pathways, CPD, events and policy input.
Initial streams
Proposed working groups
The first streams focus on applied AI adoption and assurance: the areas where shared industry guidance can reduce friction for both builders and adopters.
GenAI Adoption
Repeatable playbooks for organisations adopting generative AI safely, affordably and effectively.
Express interestProcurement
Buyer guidance, supplier readiness, evidence requirements and procurement alignment for trusted AI.
Express interestSkills and Accreditation
Practitioner and supplier pathways, CPD, recognition models and future accreditation foundations.
Express interestSector Councils
Health, resources, agriculture, public sector, finance and other high-impact Australian use cases.
Express interestChapters and Ecosystem
State and territory chapters that connect local builders, adopters, educators, investors and government.
Express interestOperating model
National coordination with local and sector activity.
AAIIG can scale through a lean secretariat, national steering committee, chapter leads council, sector councils and working groups with defined outputs.
1
State and territory chapters
Local convening for members, adopters, educators, investors and government partners.
2
Sector councils
Focused collaboration for industries such as health, resources, agriculture, finance and public services.
3
Defined outputs
Each working group should publish practical artefacts such as guidance notes, templates, briefings or policy recommendations.